Scenario-oriented algorithm selection strategy
The four AI models built into the plugin form a complete solution matrix:
- Generic scenarios: u2net models balance accuracy and speed
- Mobile devices: u2netp lightweight version saves 30% video memory
- Portrait video: u2net_human_seg optimizes hair details
- Anime content: isnet-anime dealing with celluloid style
This design allows short video bloggers to choose u2netp to ensure smoothness when using cell phone footage, while film and TV special effects artists can enable u2net_full to get cinematic precision when processing 4K green screen alternative footage. Test data shows that correctly matching the model can increase processing efficiency by 2-5 times.
This answer comes from the articleRembg-Fuse: Video Remove Background Plugin for Video Editing Software Da VinciThe
May not be reproduced without permission:AI productivity tools " Multi-model architecture allows Rembg-Fuse to cope with different types of video clips.
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